Medium

Design a Rate Limiter System Design Interview

Design a service to limit the number of requests a user can send to an API within a time window.

1. Problem Statement

We need to design a distributed rate limiter for our API gateway. It needs to handle millions of requests per second. Where do we start?

2. Architecture Discussion Map

Use this as one discussion aid, not a single correct answer. Your design should follow from the requirements, scale, and trade-offs you establish.

Rendering architecture diagram...
Mermaid Source (For AI Bots)
graph TD
    A[Client] --> B(Route53 / Global LB)
    B --> C[API Gateway Node 1]
    B --> D[API Gateway Node 2]
    C -- Local L1 Cache --> E[(Caffeine/Guava)]
    C -- Async Lua Script --> F[(Redis Sharded Cluster)]
    D -- Async Lua Script --> F

3. Key Focus Areas

  • 1
    Rate Limiting Algorithms (Token Bucket vs Fixed/Sliding Window)
  • 2
    Distributed State Management (Redis vs Memcached)
  • 3
    Race Conditions (Read-Modify-Write issues)
  • 4
    Performance (Latency overhead < 5ms)
  • 5
    Placement (Client vs Middleware vs API Gateway)

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Practice drawing this system component-by-component on a live whiteboard while the interviewer probes at your target level.

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Core Concepts

AlgorithmsDistributed CacheAPI Gateway

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